Purdue University

In Print: ‘Sparse Graphical Modeling for High Dimensional Data’

This book offers a comprehensive framework for mastering the complexities of learning high-dimensional sparse graphical models through the use of conditional independence tests. These tests are ...

DeepSeek’s conditional memory fixes silent LLM waste: GPU cycles lost to static lookups

Through systematic experiments DeepSeek found the optimal balance between computation and memory with 75% of sparse model ...

How Google’s 'internal RL' could unlock long-horizon AI agents

Google researchers introduce ‘Internal RL,’ a technique that steers an models' hidden activations to solve long-horizon tasks ...
Forbes

Sustainable AI Turns Small Data Into Huge Results For Manufacturers And Researchers

Sparse modeling AI is edging out traditional deep learning to become the technology of choice for product manufacturers and medical researchers because it ticks off all the boxes for modern quality ...
Semiconductor Engineering

HW-Aligned Sparse Attention Architecture For Efficient Long-Context Modeling (DeepSeek et al.)

A new technical paper titled “Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention” was published by DeepSeek, Peking University and University of Washington.
Nature

Sparse Modeling delivers fast, energy efficient and explainable AI solutions for cutting-edge medical applications

Japanese AI specialist HACARUS Inc. is successfully utilizing its proprietary Sparse Modeling AI technology in joint projects including phenotype drug discovery, medical imaging and ECG monitors for ...
Seeking Alpha

MicroCloud Hologram Inc. announces optimization of stacked sparse autoencoders through DeepSeek model

SHENZHEN, China, Feb. 14, 2025 /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, they Announced the deep optimization of stacked sparse ...